优化COVID-19冷链疫苗配送网络与医疗废物管理:一个强大的优化方法
Eyüp Ensar Işık1,2, Seyda Topaloglu Yildiz1
1Department of Industrial Engineering, Dokuz Eylul University, 35397 Izmir, Türkiye.
概括
这项研究优化了土耳其的COVID-19疫苗分配,确保冷链完整性和医疗废物管理. 一个强大的模型表明,供应不确定性对需求满足有重大影响,可能会使30%的需求无法满足.
科学领域:
- 运营研究 运营研究
- 公共卫生 公共卫生
- 供应链管理 供应链管理
背景情况:
- 有效地分发COVID-19疫苗对于实现社区免疫力至关重要.
- 疫苗物流需要严格遵守冷链要求和医疗废物管理.
- 土耳其的省级疫苗分发存在复杂的挑战,因为疫苗的特点和潜在的不确定性.
研究的目的:
- 开发和分析一个数学模型,以优化土耳其省级的COVID-19疫苗分配.
- 将冷链要求,医疗废物管理和两剂剂量管理计划纳入分发模式.
- 创建一个强大的模型,解决供应,需求,储存和恶化率的不确定性.
主要方法:
- 为确定性分布制定了一个新的多时期多目标混合整数线性编程模型.
- 该模型使用伊兹密尔省的确定性数据进行了测试.
- 使用多面不确定性集的强有力的优化方法被开发出来,以处理供需变化.
主要成果:
- 确定性模型证明了在12个月的伊兹米尔规划时间内满足疫苗需求和实现社区免疫的可行性.
- 强大的模型显示,不确定性水平的增加导致需求满足的逐渐减少.
- 供应不确定性被确定为最重要的因素,在最坏的情况下,最多30%的需求可能无法满足.
结论:
- 拟议的模型为有效和有弹性的COVID-19疫苗分发计划提供了一个框架.
- 解决供应链的不确定性对于最大限度地提高疫苗的可获得性和公共卫生结果至关重要.
- 调查结果强调了在波动的条件下管理易腐货物物流的强有力的战略的重要性.
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